Reliability engineering: Old problems and new challenges

Abstract. The paper shows the application of the method of determining critical elements in the networks of technical infrastructures in the search and analysis of the importance of critical gas industry facilities. The purpose of this method is to search for critical elements and sets of elements in network infrastructures and their ranking by importance. The paper presents an adaptation of the method for determining critical elements in networks of technical infrastructures for the model of gas supply system functioning, which consists in describing the response of the gas supply system to the failure of a single element or a group of them. Conclusions are made about the expediency of using this method in research into the search for critical gas industry objects and determining their significance.

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“…Similarly to [1], the total shortage of energy resources to consumers is used to estimate the impact of multiple failures F:…”

Section: Determination Of Critical Elements In the Energy Systemmentioning

confidence: 99%

“…In the case of insufficient knowledge of the infrastructure, probabilistic methods of risk analysis are used to assess its vulnerability [1,2]. If historical data are stored, then the theory of statistics is used to analyze and predict the impact of natural disasters on the performance of infrastructure [3].…”

Section: Introductionmentioning

confidence: 99%

Search of critically important objects of the gas industry with the method of determining critical elements in networks of technical infrastructures

2017

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“…Thus, the object's availability depends not only on maintenance-related breaks, but also on the probability of the system's not performing its assigned functions (failure effect) [21]. The aim of effective maintenance is to reduce the time of unplanned system breaks (Mean Down Time MDT) and related costs [29]. Based on the literature [3,13,20,24,25] and data collected from MPK in Lublin, it has been assumed that the operational availability will be defined in this study according to the following formula:…”

Section: Theoretical Aspects Of Operational Availability Of Public Bumentioning

confidence: 99%

Comparison of operational availability of public city buses by analysis of variance

Rymarz¹,

Niewczas²,

Krzyżak³

2016

EiN

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“…Reliability is a key indicator for the safe functioning of modern technological systems [1], such as air traffic control, railway transportation, and medical devices. Reliability is defined here as the probability of the failurefree operation of a software system for a specified period in a specified environment [2,3].…”

Section: Introductionmentioning

confidence: 99%

Large scale software test data generation based on collective constraint and weighted combination method

2017

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Original scientific paper Software reliability test is to test software with the purpose of verifying whether the software achieves reliability requirements and evaluating software reliability level. Statistical-based software reliability testing generally includes three parts: building usage model, test data generation and testing. The construction of software usage model should reflect user's real use as far as possible. A huge number of test cases are required to satisfy the probability distribution of the actual usage situation; otherwise, the reliability test will lose its original meaning. In this paper, we first propose a new method of structuring software usage model based on modules and constraint-based heuristic method. Then we propose a method for the testing data generation in consideration of the combination and weight of the input data, which reduces a large number of possible combinations of input variables to a few representative ones and improves the practicability of the testing method. To verify the effectiveness of the method proposed in this paper, four groups of experiments are organized. The goodness of fit index (GFI) shows that the proposed method is closer to the actual software use; we also found that the method proposed in this paper has a better coverage by using Java Pathfinder to analyse the four sets of internal code coverage.Keywords: constraint; data generation; GFI; software reliability testing; usage model; weighted combination Generiranje ispitnih podataka za softver zasnovano na kolektivnom ograničenju i ponderiranoj metodi kombinacijeIzvorni znanstveni članak Ispitivanje pouzdanosti softvera znači ispitivanje softvera kako bi se provjerilo da li udovoljava zahtjevima pouzdanosti i kako bi se procijenio njegov stupanj pouzdanosti. Statistički temeljeno ispitivanje pouzdanosti softvera općenito uključuje tri dijela: izgradnju modela, generiranje ispitnih podataka i ispitivanje. Stvaranje modela upotrebe softvera treba što je više moguće odražavati korisnikovu stvarnu primjenu. Potreban je ogroman broj ispitivanih slučajeva da bi se zadovoljila distribucija vjerojatnoće u slučaju stvarne upotrebe; inače će ispitivanje pouzdanosti izgubiti originalno značenje. U ovom radu najprije predlažemo novu metodu strukturiranja modela primjene softvera zasnovanu na modulima i heurističkoj metodi koja se temelji na ograničenjima. Zatim predlažemo metodu za generiranje podataka za ispitivanje uzimajući u obzir kombinaciju i težinu ulaznih podataka što smanjuje veliki broj mogućih kombinacija ulaznih varijabli na samo nekoliko reprezentativnih i povećava praktičnost primjene ispitne metode. U svrhu provjere učinkovitosti metode predložene u ovom radu, organizirane su četiri grupe eksperimenata. Ispravnost odgovarajućeg indeksa (GFI-goodness of fit index) pokazuje da je predložena metoda bliža upotrebi aktualnog softvera; također smo ustanovili da ima bolju pokrivenost kod uporabe Java Pathfinder-a za analizu četiri niza pokrivenosti internog koda.

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Reliability engineering: Old problems and new challenges

Abstract: The

Cited by 714 publications

References 69 publications

Search of critically important objects of the gas industry with the method of determining critical elements in networks of technical infrastructures

Search of critically important objects of the gas industry with the method of determining critical elements in networks of technical infrastructures

Comparison of operational availability of public city buses by analysis of variance

Large scale software test data generation based on collective constraint and weighted combination method

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